A proposed methodology for the design of decision support systems in operations management

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.The purpose of this work is to attempt to develop a Decision Support System and a generalised Design Methodology, for the Operational Management of Industrial Organisations. The research subject has been selected as such, because although substantial research has been carried out on the technology of solving a specific problem with quantitative decision support tools such as Operations Research (OR) or Management Science (MS), there is a significant gap on the methodology of developing and implementing these techniques as a direct operational support tool. In recognition of operational managers' increasing needs for decision support tools and in a view of the slow progress and unsatisfactory use of OR/MS techniques, and the inability of Management Information systems to contribute to the operational decision support function, the research is set out to identify the shortcomings of existing practice, and to develop a system in the light of the resulting requirements. A multi-disciplinary approach is adopted for the development of the system and the methodology, which is based on a conceptual framework provided by cybernetics. Theories relating to the communication, regulation and coordination within a system, and to the interactive man-machine problem solving activities provide the basis for the methodology. The end product of the research is a System and a generalised Design Methodology for this system. The primary aims of the system are to co-ordinate the operational decision process throughout the organisation and to increase the effectiveness of the decision-making capacity of the operational managers. It is a microprocessor based modular system which is distributed to the operational decision makers. Functionally, it consists of a 'forward looking' information system which is dedicated to operational decision support, and quantitative decision models including OR/MS methods that are integrated with this system. The modular decision units are connected by this system

A new and efficient intelligent collaboration scheme for fashion design

Technology-mediated collaboration process has been extensively studied for over a decade. Most applications with collaboration concepts reported in the literature focus on enhancing efficiency and effectiveness of the decision-making processes in objective and well-structured workflows. However, relatively few previous studies have investigated the applications of collaboration schemes to problems with subjective and unstructured nature. In this paper, we explore a new intelligent collaboration scheme for fashion design which, by nature, relies heavily on human judgment and creativity. Techniques such as multicriteria decision making, fuzzy logic, and artificial neural network (ANN) models are employed. Industrial data sets are used for the analysis. Our experimental results suggest that the proposed scheme exhibits significant improvement over the traditional method in terms of the time–cost effectiveness, and a company interview with design professionals has confirmed its effectiveness and significance

Systems practice and the design of learning systems: orchestrating an ecological conversation

Human beings live in language and only they can take responsibility for how they think and act. So what understandings of response are possible? The relationship between responsibility and response-abilty is explored in the light of emerging critiques of the prevailing Western attitude to reason, viz: Lakoff and Johnson's (1999) fundamental challenge to prevailing models of Western thought. They argue that reason (on which much practice is built, including research practice) is: (i) not disembodied, but arises from the nature of our brains, bodies and bodily experience; (ii) evolutionary, in that abstract reason builds on and makes use of perceptual and motor inference present in 'lower' animals; (iii) is not universal in the transcendent sense but rather universal in that it is a capacity all humans share; (iv) mostly unconscious; (v) largely metaphorical and imaginative and (vi) not dispassionate but emotionally engaged. Systems practice is introduced as a means to orchestrate a particular type of conversation; it is also an ecological conversation. As a species our unique selling point is that we can engage in conversation. In the process we bring forth both ourselves and our world. To converse is to turn together, to dance, and thus an ecological conversation is a tango of responsibility. A conversation is inventive, unpredictable and is always particularizing to place and people. Drawing on experiences of teaching systems thinking and practice for environmental decision making a praxiology is outlined for stakeholder responsibility and response-ability. It is argued that capacity building in systemic inquiry and the design of learning systems are central to this praxiology

Multicriteria decision making for enhanced perception-based multimedia communication

This paper proposes an approach that integrates technical concerns with user perceptual considerations for intelligent decision making in the construction of tailor-made multimedia communication protocols. Thus, the proposed approach, based on multicriteria decision making (MDM), incorporates not only classical networking considerations, but, indeed, user preferences as well. Furthermore, in keeping with the task-dependent nature consistently identified in multimedia scenarios, the suggested communication protocols also take into account the type of multimedia application that they are transporting. Lastly, this approach also opens the possibility for such protocols to dynamically adapt based on a changing operating environment and user's preferences

Information Processing: The Language and Analytical Tools for Cognitive Psychology in the Information Age

The information age can be dated to the work of Norbert Wiener and Claude Shannon in the 1940s. Their work on cybernetics and information theory, and many subsequent developments, had a profound influence on reshaping the field of psychology from what it was prior to the 1950s. Contemporaneously, advances also occurred in experimental design and inferential statistical testing stemming from the work of Ronald Fisher, Jerzy Neyman, and Egon Pearson. These interdisciplinary advances from outside of psychology provided the conceptual and methodological tools for what is often called the cognitive revolution but is more accurately described as the information-processing revolution. Cybernetics set the stage with the idea that everything ranging from neurophysiological mechanisms to societal activities can be modeled as structured control systems with feedforward and feedback loops. Information theory offered a way to quantify entropy and information, and promoted theorizing in terms of information flow. Statistical theory provided means for making scientific inferences from the results of controlled experiments and for conceptualizing human decision making. With those three pillars, a cognitive psychology adapted to the information age evolved. The growth of technology in the information age has resulted in human lives being increasingly interweaved with the cyber environment, making cognitive psychology an essential part of interdisciplinary research on such interweaving. Continued engagement in interdisciplinary research at the forefront of technology development provides a chance for psychologists not only to refine their theories but also to play a major role in the advent of a new age of science

Fruits of Gregory Bateson’s epistemological crisis: embodied mind-making and interactive experience in research and professional praxis

Background: The espoused rationale for this special issue, situated “at the margins of cybernetics,” was to revisit and extend the common genealogy of cybernetics and communication studies. Two possible topics garnered our attention: 1) the history of intellectual adventurers whose work has appropriated cybernetic concepts; and 2) the remediation of cybernetic metaphors. Analysis: A heuristic for engaging in first- and second-order R&D praxis, the design of which was informed by co-research with pastoralists (1989–1993) and the authors’ engagements with the scholarship of Bateson and Maturana, was employed and adapted as a reflexive in-quiry framework.Conclusion and implications: This inquiry challenges the mainstream desire for change and the belief in getting the communication right in order to achieve change. The authors argue this view is based on an epistemological error that continues to produce the very problems it intends to diminish, and thus we live a fundamental error in epistemology, false ontology, and misplaced practice. The authors offer instead conceptual and praxis possibilities for triggering new co-evolutionary trajectories

The Cat Is On the Mat. Or Is It a Dog? Dynamic Competition in Perceptual Decision Making

Recent neurobiological findings suggest that the brain solves simple perceptual decision-making tasks by means of a dynamic competition in which evidence is accumulated in favor of the alternatives. However, it is unclear if and how the same process applies in more complex, real-world tasks, such as the categorization of ambiguous visual scenes and what elements are considered as evidence in this case. Furthermore, dynamic decision models typically consider evidence accumulation as a passive process disregarding the role of active perception strategies. In this paper, we adopt the principles of dynamic competition and active vision for the realization of a biologically- motivated computational model, which we test in a visual catego- rization task. Moreover, our system uses predictive power of the features as the main dimension for both evidence accumulation and the guidance of active vision. Comparison of human and synthetic data in a common experimental setup suggests that the proposed model captures essential aspects of how the brain solves perceptual ambiguities in time. Our results point to the importance of the proposed principles of dynamic competi- tion, parallel specification, and selection of multiple alternatives through prediction, as well as active guidance of perceptual strategies for perceptual decision-making and the resolution of perceptual ambiguities. These principles could apply to both the simple perceptual decision problems studied in neuroscience and the more complex ones addressed by vision research.Peer reviewe